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GAN augmentation: augmenting training data using generative adversarial networks. arXiv:1810.10863. 2018."},{"key":"ref30","unstructured":"Jackson PT, Atapour-Abarghouei A, Bonner S, Breckon T, Obara B. Style augmentation: data augmentation via style randomization. arXiv:1809.05375. 2018."},{"key":"ref31","doi-asserted-by":"crossref","unstructured":"Kisantal M, Wojna Z, Murawski J, Naruniec J, Cho K. Augmentation for small object detection. arXiv:1902.07296. 2019.","DOI":"10.5121\/csit.2019.91713"},{"key":"ref32","series-title":"2019 IEEE\/CVF International Conference on Computer Vision Workshop (ICCVW); 2019 Oct 27\u201328; Seoul, Republic of Korea","first-page":"100","article-title":"RRNet: a hybrid detector for object detection in drone-captured images","author":"Chen","year":"2019"},{"key":"ref33","doi-asserted-by":"crossref","unstructured":"Xu Z, Wu D, Yu C, Chu X, Sang N, Gao C. 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